sql-lint VS drizzle-orm

We’ll cover setting up your local environment to handle webhook events and processing the payload in a TypeScript application. Our exmaple is built with the HONC stack. The stack consists Hono.js as the web framework, a PostgreSQL Serverless database (Neon), the ORM Drizzle, and the setup to run as a Cloudflare Worker.

Drizzle is a headless Object Relational Mapper (ORM) that maps the data logic in the database with the application code. Drizzle offers both a relational and an SQL-like query API, providing an interface that closely resembles SQL, ensuring a good developer experience without the need to learn library-specific APIs. It has zero dependencies, is dialect-specific, performant, and serverless by design.

As you may have guessed, I'm using Drizzle to help define the table schema. As for the create method in the "BaseRepository" class, the code can be found below:

We've put a special focus on making sure Drizzle, Prisma, SQLAlchemy and Django ORMs work well with our platform. Common administrative and data exploration tools like DataGrip, pgAdmin and TablePlus have been put through the wringer to resolve any compatibility hiccups seen over the past few months.

Drizzle: a typescript ORM

Enter Drizzle, a lightweight typesafe ORM for TypeScript that comes with one promise: If you know SQL — you know Drizzle.

Drizzle ORM is a very popular TypeScript ORM that provides type safe access to your database, automated migrations, and a custom data model definition.

> being able to have a completely typesafe ORM such as Drizzle (https://orm.drizzle.team/) feels like a Rubicon moment, and touching anything else feels like a significant step backwards.

Alright, but there's nothing stopping you from having a completely typesafe ORM in python, is there?

Sure, there's isn't really one that everyone uses yet, but the python community tends to be a bit more cautious and slower to adopt big changes like that.